Can Big Data Analytics Enhance Performance Measurement Systems?

被引：12
|
作者：
Mello R. [1 ]
Martins R.A. [2 ]
机构：
[1] Department of Information Systems, Westfalische Wilhelms-Universitat Munster, Munster
[2] Departamento de Engenharia de Producao, Universidade Federal de Sao Carlos, Sao Carlos
来源：
IEEE Engineering Management Review | 2019年 / 47卷 / 01期
关键词：
Big data analytics; multiple case studies; performance measurement systems; performance measures;
D O I：
10.1109/EMR.2019.2900645
中图分类号：
学科分类号：
摘要：
Performance measurement systems are a critical element of managing performance. Despite the potential of big data analytics (BDA) to improve performance measurement systems (PMSs), its real impact is still not entirely clear. This paper investigates the potential of BDA to enhance PMSs. We use two short case studies to investigate such impact. The results show that descriptive and predictive analytics boost performance analysis. The use of external non-structured data challenges the companies regarding the data veracity. Business and operations management professionals should pay attention to both the employees' capability in data science and data management. They are critical issues when seeking to enhance PMS using BDA. © 1973-2011 IEEE.
引用
收藏
页码：52 / 57
页数：5
相关论文
共 50 条
  • [31] The impact of Big Data Analytics on firm sustainable performance
    Ertz, Myriam
    Latrous, Imen
    Dakhlaoui, Ahlem
    Sun, Shouheng
    CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT, 2025, 32 (01) : 1261 - 1278
  • [32] Big data analytics for intelligent manufacturing systems: A review
    Wang, Junliang
    Xu, Chuqiao
    Zhang, Jie
    Zhong, Ray
    JOURNAL OF MANUFACTURING SYSTEMS, 2022, 62 : 738 - 752
  • [33] Systematic Approach on Big Data Analytics in Education Systems
    Swathi, R.
    Kumar, N. Pavan
    KiranKranth, L.
    Madhav, L. Sethu
    Seshadri, R.
    2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2017, : 420 - 423
  • [34] Big Data Analytics in Intelligent Transportation Systems: A Survey
    Zhu, Li
    Yu, Fei Richard
    Wang, Yige
    Ning, Bin
    Tang, Tao
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (01) : 383 - 398
  • [35] On the scalability of Big Data Cyber Security Analytics systems
    Ullah, Faheem
    Babar, M. Ali
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2022, 198
  • [36] Simplifying Big Data Analytics Systems with a Reference Architecture
    Sang, Go Muan
    Xu, Lai
    de Vrieze, Paul
    COLLABORATION IN A DATA-RICH WORLD, 2017, 506 : 242 - 249
  • [37] Big data analytics: from leadership to firm performance
    Koohang, Alex
    Sargent, Carol Springer
    Zhang, Justin Zuopeng
    Marotta, Angelica
    INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2023, 123 (12) : 2976 - 2996
  • [38] Performance Enhancement of Distributed Clustering for Big Data Analytics
    Mohamed, Omar Hesham
    Shehab, Mohamed Elemam
    El Fakharany, Essam
    INTERNATIONAL CONFERENCE ON ADVANCED MACHINE LEARNING TECHNOLOGIES AND APPLICATIONS (AMLTA2018), 2018, 723 : 415 - 425
  • [39] System of Systems and Big Data analytics - Bridging the gap
    Tannahill, Barnabas K.
    Jamshidi, Mo
    COMPUTERS & ELECTRICAL ENGINEERING, 2014, 40 (01) : 2 - 15
  • [40] Deep learning for intelligent systems and big data analytics
    Agarwal, Basant
    Recent Patents on Engineering, 2020, 14 (03) : 392 - 393
12345